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http://dx.doi.org/10.5351/KJAS.2014.27.7.1187

Analysis of Climate Effects on Italian Ryegrass Yield via Structural Equation Model  

Kim, Moonju (Department of Statistics, Kangwon National University)
Sung, Kyung-Il (Department of Feed Science and Technology, Kangwon National University)
Kim, Young-Ju (Department of Statistics, Kangwon National University)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.7, 2014 , pp. 1187-1196 More about this Journal
Abstract
Italian Ryegrass (IRG), which is known as high yielding and the highest quality winter annual forage crop, is grown in mid-south area in Korea. This study aims to analyze the cause-and-effect relationship between IRG yield and climate variables such as temperature and precipitation by using IRG data and climate data of Korea Weather Bureau. From path analysis of structural equation model under multivariate normality, we found that there was a weather effect on IRG yield that the winter grass IRG yield was directly affected by spring temperature and indirectly affected by spring rainfall. These results showed that IRG can be sown in early spring in the area where it is hard to prepare for winter due to low temperature. This paper can contribute to increase IRG yield by showing the cause-and-effect relationship and this study can be extended to various structural equation models for other crops.
Keywords
Italian Ryegrass; structural equation model; outlier; mahallanobis distance;
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Times Cited By KSCI : 3  (Citation Analysis)
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